Software Engineer - Data Platform
New York, NYFull-time$180–275K/yrPosted 8mo agoStill listed 2w ago
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Job overview
Basic Capital is hiring a Software Engineer - Data Platform. Basic Capital, a fintech startup, seeks a founding member for its Data & Reporting team to build data infrastructure, pipelines, and analytics that support business intelligence, compliance, and customer communications.
Key focus areas include Build data pipelines that transform raw operational data into actionable insights, Own automation of critical compliance reporting, notices, and regulatory submissions, and Develop and maintain customer‑facing reporting systems such as monthly statements and portfolio insights.
Successful candidates bring Experience With Data Pipeline Development, Experience Designing Data Models, and Experience With Modern Data Warehouse Platforms. Important skills include Data Pipeline Development, ETL/ELT Workflows, SQL, Data Modeling, Snowflake, and BigQuery. Preferred (not required): Kotlin, Fintech Experience, Early-Stage Technology Company Experience, and Financial Data Understanding.
Skills & qualifications
Skills
Qualifications
Full job description
About Basic Capital
Basic Capital is a fintech company disrupting America’s $1T retirement industry by building the mortgage for retirement, unlocking market ownership, and making wealth accessible to every American. Our mission is to create products, platforms, and a credit marketplace that power a fundamentally new retirement system.
Our founding team includes leaders from Goldman Sachs, Uber, Block, Stripe, and Robinhood. We’re backed by top investors such as Lux Capital, Forerunner Ventures, BoxGroup, SVAngel, Inspired Capital, and Henry Kravis. Based in SoHo, NYC, we’re assembling a lean, high-performance team committed to reducing wealth inequality.
For more information, visit Basic Capital’s website .
You will
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Be the founding member of the Data & Reporting team, building the data infrastructure and analytics capabilities that power Basic Capital's business intelligence, compliance, and customer communications
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Design and build data pipelines that transform raw operational data into actionable insights for business stakeholders
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Own the automation of critical compliance reporting, notices, and regulatory submissions
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Develop and maintain customer-facing reporting systems including monthly account statements, performance analytics, and portfolio insights
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Build and maintain our data warehouse infrastructure, ensuring data quality, consistency, and accessibility across the organization
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Participate in architecture discussions, planning, and code reviews across the stack
Required Competencies
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Strong experience with data pipeline development and ETL/ELT workflows
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Proficiency with SQL and experience designing data models for analytics and reporting
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Experience with modern data warehouse platforms (e.g., Snowflake, BigQuery, Redshift) and data transformation tools (e.g., dbt)
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Experience with data visualization tools and building dashboards (e.g., Looker, Tableau, Hex, Metabase)
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Strong attention to detail and commitment to data accuracy, especially for compliance-critical use cases
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Proficiency in any of the following: Kotlin, Rust, Java, Go, C/C++, Python, Ruby, or TypeScript
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Experience with modern build systems and cloud infrastructure (AWS, GCP, Azure)
Preferred Competencies
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Experience in fintech or early-stage technology companies
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Understanding of financial data, ledgers, and accounting principles
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Experience working in Kotlin backends
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Experience with Temporal for asynchronous workflow orchestration
Cultural Fit
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Passionate about solving big social problems with pragmatic solutions
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Aptitude for complexity and curiosity for financial markets
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Enjoys learning new technologies and selecting the right tool for each job
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Adaptable and open to contributing across the tech stack as the team evolves
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Autonomous, high agency, accountable, and thrives in a fast-paced environment
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Strong collaboration and communication skills, working effectively in cross-functional teams
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Excited to be a part of an in-office team
You've read the whole posting — now see how you match it.